Algorithms

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. An introduction to fundamental data types, algorithms, and data structures, with emphasis on applications and scientific performance analysis of Java implementations.

Learn data structures and algorithms in C# from A to Z. Pass coding interview. Learn unit testing and TDD in addition.

Learn data structures and algorithms in C# from A to Z. Pass coding interview. Learn unit testing and TDD in addition.

Bored by the academic approach of most data structures and algorithms courses? This is for you! You'll learn to solve algorithms and analyze space and time complexity in both an interview setting and in your day-to-day development. Following along with the course, you'll practice algorithms with common interview questions using a handful of algorithm techniques. Take a practical look at recursion and learn to optimize your solutions using divide-and-conquer. Implement merge sort and quicksort and understand the tradeoffs of both approaches. Plus, get started with dynamic programming and memorization!

If you have ever used a navigation service to find optimal route and estimate time to destination, you've used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! If you're looking for the fastest time to get to work, cheapest way to connect set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you're going to work with graphs and algorithms on graphs.

Learn about Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms and Search algorithms

Learn data structures and algorithms in C# from A to Z. Pass coding interview. Learn unit testing and TDD in addition.

A guide to implement data structures, graph algorithms and sorting algorithms from scratch with interview questions!

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings. All the features of this course are available for free. It does not offer a certificate upon completion.

Data Structures and Algorithms in C Using Algorithms/Data Structures/with Linked List/Master Algorithms/Data Structures